Methods for simultaneous EEG-fMRI: an introductory review

RJ Huster, S Debener, T Eichele… - Journal of …, 2012 - Soc Neuroscience
The simultaneous recording and analysis of electroencephalography (EEG) and fMRI data
in human systems, cognitive and clinical neurosciences is rapidly evolving and has received …

[HTML][HTML] Network interactions: non-geniculate input to V1

L Muckli, LS Petro - Current opinion in neurobiology, 2013 - Elsevier
The strongest connections to V1 are fed back from neighbouring area V2 and from a network
of higher cortical areas (eg V3, V5, LOC, IPS and A1), transmitting the results of cognitive …

Stimulus predictability reduces responses in primary visual cortex

A Alink, CM Schwiedrzik, A Kohler… - Journal of …, 2010 - Soc Neuroscience
In this functional magnetic resonance imaging study we tested whether the predictability of
stimuli affects responses in primary visual cortex (V1). The results of this study indicate that …

Adding dynamics to the Human Connectome Project with MEG

LJ Larson-Prior, R Oostenveld, S Della Penna… - Neuroimage, 2013 - Elsevier
Abstract The Human Connectome Project (HCP) seeks to map the structural and functional
connections between network elements in the human brain. Magnetoencephalography …

Transfer entropy in magnetoencephalographic data: quantifying information flow in cortical and cerebellar networks

M Wibral, B Rahm, M Rieder, M Lindner… - Progress in biophysics …, 2011 - Elsevier
The analysis of cortical and subcortical networks requires the identification of their nodes,
and of the topology and dynamics of their interactions. Exploratory tools for the identification …

Attention, awareness, and the perception of auditory scenes

JS Snyder, MK Gregg, DM Weintraub… - Frontiers in …, 2012 - frontiersin.org
Auditory perception and cognition entails both low-level and high-level processes, which are
likely to interact with each other to create our rich conscious experience of soundscapes …

Predictive feedback to V1 dynamically updates with sensory input

G Edwards, P Vetter, F McGruer, LS Petro, L Muckli - Scientific reports, 2017 - nature.com
Predictive coding theories propose that the brain creates internal models of the environment
to predict upcoming sensory input. Hierarchical predictive coding models of vision postulate …

Predictive coding in sensory cortex

P Kok, FP de Lange - An introduction to model-based cognitive …, 2015 - Springer
In recent years, predictive coding has become an increasingly influential model of how the
brain processes sensory information. Predictive coding theories state that the brain is …

[LIVRE][B] Practical biomedical signal analysis using MATLAB®

KJ Blinowska, J Żygierewicz - 2021 - taylorfrancis.com
Covering the latest cutting-edge techniques in biomedical signal processing while
presenting a coherent treatment of various signal processing methods and applications, this …

[HTML][HTML] Neural mechanisms of visual motion extrapolation

W Turner, C Sexton, H Hogendoorn - Neuroscience & Biobehavioral …, 2024 - Elsevier
Because neural processing takes time, the brain only has delayed access to sensory
information. When localising moving objects this is problematic, as an object will have …